5554 related articles

Learn how to use OpenAI Codex to build a complete cold chain logistics optimization research project from scratch, including simulated annealing implementation, experiments, figures, and LaTeX paper compilation.

LangChain's Chicago Meetup spotlights Deep Agents — exploring the evolution from simple Agents to multi-layered reasoning and long-chain task execution.

A systematic guide to LangChain covering environment setup, model invocation, Prompt Templates, Output Parsers, LCEL chain expressions, and hands-on RAG implementation for beginners.

A complete tutorial on building a RAG medical Q&A system with LangChain4j, covering Ollama local deployment, Redis vector DB, document vectorization, and Cursor AI-assisted development.

In-depth analysis of LangChain's open-source social-media-agent: content sourcing, AI curation, scheduled publishing, Human-in-the-Loop design, and LangGraph architecture.

Replit partners with Socket Security for platform-level defense against supply chain attacks. Learn how AI agents amplify attack surfaces and how real-time detection protects developers.

Exposing global criminal networks: illegal Amazon gold mining and logging, South Africa's hitman industry, and Philippine sextortion factories. How poverty, corruption, and consumers sustain deadly crime.

How can frontend engineers transition to AI full-stack? This guide covers NestJS + LangChain, TypeScript fundamentals, AI Agent development, local model deployment, and cross-language architecture skills.

Deep dive into LangGraph's core positioning, its relationship with LangChain, practical code comparisons of Chain vs Graph, understanding Agent essentials, and multi-agent orchestration design.

A systematic guide to LangChain LLM application development, covering environment setup, core components (RAG, Chain, Memory), and Agent development to help developers master LLM app building.

Google now hides Gemini's thinking process by default, preventing users from verifying reasoning logic and search behavior. We analyze why this transparency rollback matters and how it compares to ChatGPT and Claude.
TutorialsDetailed guide to LangChain core modules including prompt templates, output parsers, Chain invocation, LCEL expression language, and LangSmith tracing tools for LLM application development.
TutorialsLearn LangChain FewShotPromptTemplate: core parameters, implementations for text completion and chat models, and practical use cases like batch file renaming to reduce LLM hallucinations.
Product ReviewsA non-coder indie developer shipped a product in 16 days using Gemini, Cline, MiniMax, and DeepSeek. Full retrospective on tool selection, model quality gaps, and practical lessons learned.
Product ReviewsClaude Code v2.1.143 brings intelligent plugin dependency chain management, background session model parameter persistence, Agent mode parameterized configuration, and critical Windows/macOS bug fixes.
Industry InsightsChina's internet giants collectively increase AI CapEx as computing infrastructure shifts from expectations to delivery. Analysis of six key beneficiary sectors including AI data centers, chips, and storage.
TutorialsDeep dive into LangChain 1.0's three-layer architecture (LangChain, LangGraph, Deep Agents), core components like Models, Tools, and Memory, plus a complete learning path from semantic search to multi-agent collaboration.
TutorialsA detailed comparison of LangChain's two model invocation approaches, focusing on init_chat_model unified interface usage and tips for avoiding DeepSeek V4 Pro Thinking Mode pitfalls in Agent scenarios.
Industry InsightsLangChain unveils a full-lifecycle toolchain for Agent development at Interrupt, covering Deep Agents 0.6, SmithDB, Context Hub, LLM Gateway, and LangSmith Engine.
TutorialsLearn how to use the open-source AI framework Bolt with DeepSeek LLM API to build a visual on-chain trading bot management dashboard through natural language — zero coding required.